Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Seismology Expert - Computational Problem Designer - AI Trainer

Job

Mercor

Remote

$176,800 Salary, Part-Time

Posted 3 days ago (Updated 14 hours ago) • Actively hiring

Expires 7/11/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position:
STEM Computational Scientific Software & Evaluation Design -
Seismology & Geophysics Type:
Contract Compensation:
$70-$100/hour
Location:
Remote Commitment:
15-20 hours/week Role Responsibilities Design graduate-level computational problems using domain-specific scientific software libraries like ObsPy or SPECFEM . Evaluate AI models by testing their ability to solve complex multi-step scientific workflows. Develop strategies for designing queries or experiments to uncover hidden information efficiently. Collaborate with AI teams to refine problem designs based on calibration feedback. Work independently and asynchronously to improve AI model performance and reasoning strategies. Qualifications Must-Have Graduate-level training in a relevant STEM domain ( MS, PhD, or equivalent research experience ). Proficiency with scientific software libraries evidenced by research publications or professional work. Strong Python programming skills for writing problem setups and solution validators. Ability to work in a Linux/terminal environment with remote compute sandboxes. Available for at least 15-20 hours per week . Preferred Experience across multiple listed domains or tools. Familiarity with benchmark or evaluation design. Background in scientific pedagogy or exam/problem-set design. Experience with computational reproducibility and containerized environments. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com
PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. #hiringmercor